25 August 1992 Real-time analysis of small or low-contrast objects
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Abstract
Multi-frame, multi-spectral image sequences can be exploited in real-time, giving analysts access to information on evolving strategic events or threats. Video-rate dynamic range adjustment subdues fluctuations in image intensity, thereby assisting discrimination of small or low-contrast objects. Contrast-regulated unsharp masking enhances differentially shadowed or otherwise low-contrast image regions. Real-time removal of localized hotspots may enhance resolution of adjacent objects. In image sequences contaminated by zero-mean noise, real-time frame averaging can assist resolution and location of small or low-contrast objects. Image sequences can be screened automatically for low-frequency, high-magnitude events.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen R. Yool, Stephen R. Yool, Kirk G. Smedley, Kirk G. Smedley, David L. Van Vactor, David L. Van Vactor, } "Real-time analysis of small or low-contrast objects", Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); doi: 10.1117/12.139367; https://doi.org/10.1117/12.139367
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